Your clients expect clean, standardized data. BackOffice Scripts validates contacts, standardizes addresses, classifies entities, and parses names — so you can deliver higher-quality lists and charge premium prices.
25-30%
Of purchased lead lists contain invalid contact data
DMA Response Rate Report, 2024
$0.50-$2.00
Cost per wasted mailing due to bad address data
USPS Postal Facts
8,500
Records processed per batch with BackOffice Scripts
Bad phone numbers, invalid emails, and unstandardized addresses lead to client chargebacks and lost contracts. Every returned record damages your reputation.
QA analysts spend hours spot-checking records that could be validated automatically. The cost of manual review eats into margins on every list sale.
USPS-compliant mailings require standardized addresses, parsed names, and deduplicated records. Getting this wrong means wasted postage and undeliverable mail.
Growing volume means either hiring more QA staff or finding tools that scale. Manual processes that work at 10,000 records break at 100,000.
Invalid phone numbers and disposable emails drain campaign budgets and damage sender reputation. BackOffice Scripts validates, scores, and classifies every contact in your list.
Undeliverable mail wastes postage and kills campaign ROI. BackOffice Scripts standardizes addresses to USPS format, parses recipient names, and cleans your list — so every piece reaches its destination.
Purchased lead lists are notorious for bad data. BackOffice Scripts identifies invalid contacts, classifies names, and scores contact quality — so you only reach out to real prospects.
Validate phone numbers and email addresses, detect disposable emails, flag invalid formats, and score overall contact quality. Stop wasting time on bad contact data.
1 credit/record · Max 8,500 rows
Normalize addresses to USPS standard format, split into structured fields (street, city, state, zip), and flag invalid or incomplete addresses. Essential for HMDA reporting and rate territory assignment.
2 credits/record · Max 8,500 rows
Split full names into first/middle/last/suffix, handle joint names ("John and Mary Smith"), normalize casing, and flag suspicious or fake entries. Built for lending and insurance records.
1 credit/record · Max 8,500 rows
Classify names as personal (individual) or business entities. Upload a CSV with a name column and get back a true/false classification for each row.
1 credit/record · Max 8,500 rows
“We've been running our lists through BackOffice Scripts for months now. The name classification alone saves us hours every week.”
Data Operations Lead
National data vendor, 100,000+ records processed
Yes. Split your file into batches of up to 8,500 rows. Most data vendors run multiple batches — results are saved in your history for 7 days. We're adding bulk upload support soon.
The scorer validates formats, detects disposable email providers, identifies phone number types (mobile, landline, VoIP), and assigns a composite quality score from 0-100. It catches the most common invalid data patterns.
Yes. Credit packs start at $0.03/record (Starter) and go down to $0.007/record (Enterprise). The more credits you buy, the lower your per-record cost.
The output is a standard CSV file with your original data plus new columns. There's no BackOffice Scripts branding in the output — you can deliver it directly to clients.
Start with 100 free records. No credit card required.